Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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Logistic Model for Normality by Neural Networks

  • 발행 : 2003.02.28
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초록

We propose a new logistic regression model of normality curves for normal(diseased) and abnormal(nondiseased) classifications by neural networks in data mining. The fitted logistic regression lines are estimated, interpreted and plotted by the neural network technique. A few goodness-of-fit test statistics for normality are discussed and the performances by the fitted logistic regression lines are conducted.

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참고문헌

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  6. Biometrika v.52 An analysis-of-variance test for normality (complete sample) Shapiro, S. S.;Wilk, M. B.
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